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Author: Stephen Hatrak Publisher: ISBN: 9781475916362 Category : Brain Languages : en Pages : 0
Book Description
A Statistic of One: My Walk with Glioblastoma Multiforme traces Stephen Hatrak's life from his diagnosis of glioblastoma multiforme, the deadliest of malignant brain tumors, to the present. He chronicles the trials and tribulations he faced and the losses he suffered along his journey. Faith and inner strength are formidable allies in overcoming any tragedy in one's life, and they played vital roles in his struggle. He was told from the start that the he might have twelve months to live; even so, he defi ed the odds and, six years later, is telling his own story. Despite the dire statistics associated with a diagnosis of glioblastoma, there are several stories of long-term survival; these stories gave him hope that this cancer could be tamed. To overcome this challenge in his life, he had to believe in himself and fi nd his inner sixth sense to strengthen his resolve. Along the way, he learned that life with brain cancer could be tough, but that he could be even tougher. What cancer cannot do....separate me from my soul, squash my spirit, and stop the sun from rising in the east and setting in the west; creating new tomorrows and new opportunities. A Statistic of One is an uplifting story of faith and perseverance; how we cope with challenge will determine how we move forward and live life to its fullest.
Author: Stephen Hatrak Publisher: ISBN: 9781475916362 Category : Brain Languages : en Pages : 0
Book Description
A Statistic of One: My Walk with Glioblastoma Multiforme traces Stephen Hatrak's life from his diagnosis of glioblastoma multiforme, the deadliest of malignant brain tumors, to the present. He chronicles the trials and tribulations he faced and the losses he suffered along his journey. Faith and inner strength are formidable allies in overcoming any tragedy in one's life, and they played vital roles in his struggle. He was told from the start that the he might have twelve months to live; even so, he defi ed the odds and, six years later, is telling his own story. Despite the dire statistics associated with a diagnosis of glioblastoma, there are several stories of long-term survival; these stories gave him hope that this cancer could be tamed. To overcome this challenge in his life, he had to believe in himself and fi nd his inner sixth sense to strengthen his resolve. Along the way, he learned that life with brain cancer could be tough, but that he could be even tougher. What cancer cannot do....separate me from my soul, squash my spirit, and stop the sun from rising in the east and setting in the west; creating new tomorrows and new opportunities. A Statistic of One is an uplifting story of faith and perseverance; how we cope with challenge will determine how we move forward and live life to its fullest.
Author: David M Lane Publisher: ISBN: 9781687894250 Category : Languages : en Pages : 406
Book Description
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
Author: Gareth James Publisher: Springer Nature ISBN: 3031387473 Category : Mathematics Languages : en Pages : 617
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Author: Rudolf J. Freund Publisher: Elsevier ISBN: 0080498221 Category : Mathematics Languages : en Pages : 694
Book Description
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters
Author: Larry Wasserman Publisher: Springer Science & Business Media ISBN: 0387217363 Category : Mathematics Languages : en Pages : 446
Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author: Darrell Huff Publisher: W. W. Norton & Company ISBN: 0393070875 Category : Mathematics Languages : en Pages : 144
Book Description
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Author: Alex Reinhart Publisher: No Starch Press ISBN: 1593276206 Category : Mathematics Languages : en Pages : 177
Book Description
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
Author: F.M. Dekking Publisher: Springer Science & Business Media ISBN: 1846281687 Category : Mathematics Languages : en Pages : 485
Book Description
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
Author: Peter Dalgaard Publisher: Springer Science & Business Media ISBN: 0387790543 Category : Mathematics Languages : en Pages : 370
Book Description
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Author: Stephen Hatrak
Author: Stephen Hatrak
Author: Steve Slavin
Author: David M Lane
Author: Gareth James
Author: Rudolf J. Freund
Author: Larry Wasserman
Author: Darrell Huff
Author: Alex Reinhart
Author: F.M. Dekking
Author: Peter Dalgaard